@inproceedings{samuelsson-1995-novel,
title = "A Novel Framework for Reductionistic Statistical Parsing",
author = "Samuelsson, Christer",
editor = "Hajicova, Eva and
Lang, Bernard and
Berwick, Robert and
Bunt, Harry and
Carpenter, Bob and
Church, Ken and
Joshi, Aravind and
Kaplan, Ronald and
Kay, Martin and
Nagao, Makoto and
Nijholt, Anton and
Steedman, Mark and
Thompson, Henry and
Tomita, Masaru and
Vijay-Shanker, K. and
Wilks, Yorick and
Wittenburg, Kent",
booktitle = "Proceedings of the Fourth International Workshop on Parsing Technologies",
month = sep # " 20-24",
year = "1995",
address = "Prague and Karlovy Vary, Czech Republic",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/1995.iwpt-1.25",
pages = "208--215",
abstract = "A reductionistic statistical framework for part-of-speech tagging and surface syntactic parsing is presented that has the same expressive power as the highly successful Constraint Grammar approach, see [Karlsson et al. 1995]. The structure of the Constraint Grammar rules allows them to be viewed as conditional probabilities that can be used to update the lexical tag probabilities, after which low-probability tags are repeatedly removed. Experiments using strictly conventional information sources on the Susanne and Teleman corpora indicate that the system performs as well as a traditional HMM-based part-of-speech tagger, yielding state-of-the-art results. The scheme also enables using the same information sources as the Constraint Grammar approach, and the hope is that it can improve on the performance of both statistical taggers and surface-syntactic analyzers.",
}
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<abstract>A reductionistic statistical framework for part-of-speech tagging and surface syntactic parsing is presented that has the same expressive power as the highly successful Constraint Grammar approach, see [Karlsson et al. 1995]. The structure of the Constraint Grammar rules allows them to be viewed as conditional probabilities that can be used to update the lexical tag probabilities, after which low-probability tags are repeatedly removed. Experiments using strictly conventional information sources on the Susanne and Teleman corpora indicate that the system performs as well as a traditional HMM-based part-of-speech tagger, yielding state-of-the-art results. The scheme also enables using the same information sources as the Constraint Grammar approach, and the hope is that it can improve on the performance of both statistical taggers and surface-syntactic analyzers.</abstract>
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%0 Conference Proceedings
%T A Novel Framework for Reductionistic Statistical Parsing
%A Samuelsson, Christer
%Y Hajicova, Eva
%Y Lang, Bernard
%Y Berwick, Robert
%Y Bunt, Harry
%Y Carpenter, Bob
%Y Church, Ken
%Y Joshi, Aravind
%Y Kaplan, Ronald
%Y Kay, Martin
%Y Nagao, Makoto
%Y Nijholt, Anton
%Y Steedman, Mark
%Y Thompson, Henry
%Y Tomita, Masaru
%Y Vijay-Shanker, K.
%Y Wilks, Yorick
%Y Wittenburg, Kent
%S Proceedings of the Fourth International Workshop on Parsing Technologies
%D 1995
%8 sep 20 24
%I Association for Computational Linguistics
%C Prague and Karlovy Vary, Czech Republic
%F samuelsson-1995-novel
%X A reductionistic statistical framework for part-of-speech tagging and surface syntactic parsing is presented that has the same expressive power as the highly successful Constraint Grammar approach, see [Karlsson et al. 1995]. The structure of the Constraint Grammar rules allows them to be viewed as conditional probabilities that can be used to update the lexical tag probabilities, after which low-probability tags are repeatedly removed. Experiments using strictly conventional information sources on the Susanne and Teleman corpora indicate that the system performs as well as a traditional HMM-based part-of-speech tagger, yielding state-of-the-art results. The scheme also enables using the same information sources as the Constraint Grammar approach, and the hope is that it can improve on the performance of both statistical taggers and surface-syntactic analyzers.
%U https://aclanthology.org/1995.iwpt-1.25
%P 208-215
Markdown (Informal)
[A Novel Framework for Reductionistic Statistical Parsing](https://aclanthology.org/1995.iwpt-1.25) (Samuelsson, IWPT-WS 1995)
ACL